Stars
Python notebook describing the entire process of developing a prediction model including: Exploratory Data Analysis, Data Preprocessing, and Model Development
The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization…
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
📘 PDF-based personal notes and hands-on practice of popular Python libraries for data analysis and data visualization using Jupyter Notebook. Includes NumPy, Pandas, Matplotlib, and Seaborn with ch…
The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3. Here, we fine tune this model on technical documents for domain specific adapatation.
A fine-tuned LLM optimized for telecom domain data, enhanced with a Retrieval-Augmented Generation (RAG) pipeline. The model delivers accurate insights on RF metrics, network performance, and telec…
Developing a highly effective, domain-specific large language model for reliability engineering. We will achieve this by creating a large-scale, high-quality, synthetic dataset and using it to fine…
Research repository for continued pre-training of large language models (LLMs) using domain-specific to enhance contextual understanding and downstream performance.
This project focuses on parameter-efficient fine-tuning of Large Language Models (LLMs) using LoRA (Low-Rank Adaptation) and QLoRA (Quantized LoRA) techniques. The objective is to adapt a pretraine…
The project involved fine-tuning a LLaMA large language model on domain-specific data related to Al Akhawayn University, including academic regulations, courses, campus services, and student life.
Fine-tuning a large language model (LLM) involves continuing the training of a pre-trained LLM on a targeted dataset to improve its performance on a specific task or within a particular domain.
An open-source project designed to provide an educational and collaborative AI-powered platform
This module consists of various Interview Preparation Materials and Possible Programming Questions on various Topics to be covered.
Questions with solutions from Hackkerank, Coding Ninjas, and learning resources for CS concepts like OS, CN, etc along with campus placement and interview resources for freshers (based on my campus…
This repository contains a comprehensive collection of Accenture interview questions with Solution covering interview topics like coding, pseudocode, aptitude, reasoning, and more. It's designed to…
Accenture Previous Year Coding Questions With Solution.
This is compelte list of resources that i used and going to for my placement preparation
A collection of tips, tricks, cheat sheets, and various other coding resources that I can quickly reference when working on a coding project.
This repository consists of all my Machine Learning Projects.
Data Structure and Algorithm Implementations in Python
DSA placements preparation guide. Includes DSA Python codes.
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS / MPEG-TS / RTP media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
8th sem Final year Project of VTU
A VR-AR healing project transforming spaces into Cymatic temples using Solfeggio frequencies, sound resonance, and AI-driven biofeedback. Featuring NeuraSonics, AR overlays, VR sacred spaces, and l…
create healing sounds based on dr. tomatis research combining high frequency signals with white noise backgrounds, each panel defines the envelope for pitch, balance and noise levels, define the cu…